R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(22,78.1,21.8,74.5,21.5,74.6,21.3,75.5,21.1,76.9,21.2,76.3,21,73.8,20.8,73.4,20.5,75.8,20.4,76.9,20.1,73.2,19.9,72.1,19.6,74.3,19.4,73.1,19.2,72.2,19.1,69.4,19.1,70.8,18.9,71.1,18.7,71.2,18.7,70.6,18.7,71.1,18.4,70.3,18.4,68.3,18.3,68.9,18.4,71.9,18.3,73.3,18.3,70.9,18,70,17.7,65.5,17.7,70.1,17.9,66.6,17.6,67.4,17.7,67.8,17.4,69.4,17.1,69.4,16.8,66.7,16.5,65,16.2,63.1,15.8,65,15.5,63.9,15.2,63,14.9,62.2,14.6,61.4,14.4,61,14.5,58.8,14.2,61),dim=c(2,46),dimnames=list(c('Sterfte','Huwelijk'),1:46))
>  y <- array(NA,dim=c(2,46),dimnames=list(c('Sterfte','Huwelijk'),1:46))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> library(brglm)
Loading required package: profileModel
> roc.plot <- function (sd, sdc, newplot = TRUE, ...)
+ {
+ sall <- sort(c(sd, sdc))
+ sens <- 0
+ specc <- 0
+ for (i in length(sall):1) {
+ sens <- c(sens, mean(sd >= sall[i], na.rm = T))
+ specc <- c(specc, mean(sdc >= sall[i], na.rm = T))
+ }
+ if (newplot) {
+ plot(specc, sens, xlim = c(0, 1), ylim = c(0, 1), type = 'l',
+ xlab = '1-specificity', ylab = 'sensitivity', main = 'ROC plot', ...)
+ abline(0, 1)
+ }
+ else lines(specc, sens, ...)
+ npoints <- length(sens)
+ area <- sum(0.5 * (sens[-1] + sens[-npoints]) * (specc[-1] -
+ specc[-npoints]))
+ lift <- (sens - specc)[-1]
+ cutoff <- sall[lift == max(lift)][1]
+ sensopt <- sens[-1][lift == max(lift)][1]
+ specopt <- 1 - specc[-1][lift == max(lift)][1]
+ list(area = area, cutoff = cutoff, sensopt = sensopt, specopt = specopt)
+ }
> roc.analysis <- function (object, newdata = NULL, newplot = TRUE, ...)
+ {
+ if (is.null(newdata)) {
+ sd <- object$fitted[object$y == 1]
+ sdc <- object$fitted[object$y == 0]
+ }
+ else {
+ sd <- predict(object, newdata, type = 'response')[newdata$y ==
+ 1]
+ sdc <- predict(object, newdata, type = 'response')[newdata$y ==
+ 0]
+ }
+ roc.plot(sd, sdc, newplot, ...)
+ }
> hosmerlem <- function (y, yhat, g = 10)
+ {
+ cutyhat <- cut(yhat, breaks = quantile(yhat, probs = seq(0,
+ 1, 1/g)), include.lowest = T)
+ obs <- xtabs(cbind(1 - y, y) ~ cutyhat)
+ expect <- xtabs(cbind(1 - yhat, yhat) ~ cutyhat)
+ chisq <- sum((obs - expect)^2/expect)
+ P <- 1 - pchisq(chisq, g - 2)
+ c('X^2' = chisq, Df = g - 2, 'P(>Chi)' = P)
+ }
> x <- as.data.frame(t(y))
> r <- brglm(x)
Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1
Calls: brglm -> fit.proc -> eval -> eval
Execution halted